肝细胞癌诊断的影像组学模型推荐专家共识
Expert consensus recommendations for radiomic models in the diagnosis of hepatocellular carcinoma
中国研究型医院学会感染与炎症放射学专业委员会 中华医学会放射学分会传染病学组 中国科技产业化促进会数字健康专业委员会 中国医院协会传染病分会传染病影像学组 北京影像诊疗技术创新联盟 李宏军 1陈天武 2郭大静2
作者信息
- 1. 首都医科大学附属北京佑安医院放射科,北京100069
- 2. 重庆医科大学附属第二医院放射科,重庆400010
- 折叠
摘要
原发性肝癌为国内外常见的恶性肿瘤,2020年成为全球范围内第7大威胁人类健康的恶性肿瘤,且病死率高居癌症第4位.精准诊断对原发性肝癌的预后至关重要.影像组学作为新兴无创的数据分析方法,从影像图像中提取大量高通量特征,为临床诊疗决策制定提供更加准确的依据.目前,针对肝细胞癌诊断的影像组学模型多种多样,但缺乏共识.该共识基于当前最新研究证据,结合循证医学证据分级系统,综合考虑临床实际及专科医师经验,形成最终的影像组学模型推荐意见,以期为临床医师明确诊断提供方法学依据,形成最佳决策方案,指导临床综合治疗.
Abstract
Primary hepatocellular carcinoma is a common malignant tumor at home and abroad.In 2020,it became the seventh most malignant tumor to threaten human health on a global scale,with a high mortality rate that ranked fourth among cancers.Therefore,a precise diagnosis is crucial for the prognosis of primary hepatocellular carcinoma.Radiomics,an emerging non-invasive data analysis method,extracts a large number of high-throughput features from imaging images,thereby providing a more accurate basis for clinical diagnosis and treatment decision-making.Currently,there are many radiomic models for diagnosing hepatocellular carcinoma,but there is a lack of consensus.This consensus formulates ultimate radiomics model recommendations based on the latest research evidence,an evidence-based medicine combination grading system,comprehensive consideration of clinical practice,and the experience of physician specialists so as to provide clinicians with a methodological basis for clarifying the diagnosis,developing the best decision-making scheme,and guiding clinically comprehensive treatment.
关键词
肝细胞癌/诊断/组学/模型/共识Key words
Hepatocellular carcinoma/Diagnosis/Omics/Model/Consensus引用本文复制引用
基金项目
国家重点研发计划"诊疗装备与生物医用材料"重点专项"揭榜挂帅"类项目(2022YFC2401700)
出版年
2024
NETL
NSTL
万方数据